Friday, 2 August 2019
|Athavankar (1990)||Design is…||First Definition|
|Balram (1995)||Design is…||Inspired by Ulm|
|Design is…||Agrees with Athavankar, adds…|
|Design is…||Disagrees with …|
Chicago Manual of Style
Oxford Manual of Style
Reporting the work of others
Paraphrasing (Writing another person’s idea in your own words)
Quotations (Avoid too many)
Synthesis (Taking multiple authors, paraphrase them, link their work in like one or two lines. If you have 10-15 authors but quoting each will make the text too long)
According to Dalvi (2010) …
Joshi (2003) points out that a far more effective approach is…
Foreshadowing for disagreement
Joshi (2003) claims that a far more effective approach is…
Direct quotation must be in quotes, author must be at beginning or end
“Hit me baby one more time” (Spears, 1998)
Long quotations (Mostly used for a narrative)
According to Lakhwani,
“When I was a child, I was … and that’s the story of how I got lost in the mall” (Lakhwani, 2019)
Only slightly changing the wording - using a thesaurus and swapping words. Even if you provide citation/reference, patching is considered a form of plagiarism.
Side-stepping (To show your awareness of the complexity of the issue)
Acknowledge a problem exists but mention that it is not your focus.
Give references to the work done by other people in the side-stepped area for people to pivot towards.
“These issues are not the focus of the study, readers interested in postcolonial studies can refer, to mention a few, the works of (Alvares 1991), (Bhabha 1994) and the writings of Subaltern studies group”
Organising your review
General-to-specific / specific-to-general
Suggested method for organising your review (general-to-specific)
Studies like yours
Hypothesis =/= Opinion =/= Facts
Distinguish between absolutes (100% certain) and probabilities (<100% certain)
Provide traceable evidence and justification for any claims you make or any opinions you have formed as a result of your research.
With the evidence we have, in the context of …
Weasel words: Seems like, probably, perhaps, it appears\ These sort of words are frowned upon in other types of writing but in academic writing you’re protecting yourself against making outlandish claims. You also sound humbler.
Assignment Number 1a
Due by next GD course - 21 August?
Prepare a plan for the Literature Review of your Project/Research
What will I cover?
What will I not cover?
Strategy for finding resources?
What will my conclusion be?
Assignment Number 1b
Due at end of semester
Execute the plan for Literature Review
Hypotheses, Laws and Theories: A user’s guide\ Stephen Van Evera
The literature review: it’s role within research\ Booth, Sutton et al
How to Read a Paper\ S. Keshav
Wednesday, 7 August 2019
“What is research? Nobody knows.” - AJ, 2019
Creation of new knowledge
Reliable, valid and reproducible
Contextualising and referencing
What was known, what is new, how is it different?
Incremental - builds on previous work.
‘Good’ ideas are refined + advanced, ‘bad’ ideas are discarded
- Writing papers
Friday, 9 August 2019
Correlational is not necessary coincidental.
this is the third variable which muddles your data.
A ‘controlled’ experiment in a ‘lab’ setting
2 variables - manipulated variable and response variable.
AKA Dependent variable and independent variable.
Experimental research must have at least 1 IV.\ Number of “effects” increases rapidly with number of IVs, try to keep them limited in an experiment 2 to 3? Eg. Drug trials 2 or more start interacting with each other also.
Independent Variable (IV)
Independent of user behaviour. It is manipulated in an experiment to elicit a change.
Eg. change in human response while using a design
“Look, I’m creating a theory.” - AJ 2019
Must have at least 2 levels/values/settings
Name both the factor (IV) and levels (test conditions)
Human attributes (age, gender, height, etc.) could be IV but cannot be “manipulated”
There may be confounding variables - a variable that affects IV & DV both, causing spurious association. They are often hidden, you need to guess at them.
Usually correlational studies
Use anything that is measurable and reproducible
You should be able to collect the data
Circumstance (not under investigation) that is kept constant while testing effect of IV.
Circumstance (not under investigation) that is allowed to vary randomly while testing effect of IV.
Circumstance apart from DVs under investigation that has an effect on IV.
When we’re doing research we need to operationalize values - eg. trying to study technology adoption we might use number of devices owned, time taken to learn a technology (whatsapp, net banking)
Is there a higher proportion of women in the profession of design as opposed to engineering?
There is no difference in the proportion of women in the professions of engineering and design.
Tension between external v/s internal validity
If you control some of the random variables, variablity comes down.
Some degree of randomness allows for better external validity.
Each participant is tested on one condition only.
More participants, but shorter study each.
Variation in skills of participants can affect the study, needs balancing variables across test conditions.
Each participant is tested on each condition. AKA repeated measures.
Fewer participants, but longer study each.
Less variation because of skills of participants, balancing not needed.
Order effects (eg. learning, practice, fatigue) are possible - counterbalancing reqd.
Asymmetric learning effects
Eg. Keyboard A teaches people how to use keyboard B and vice versa.
Use a training session to fix asymmetric learning effects.
Order effects - Counterbalancing if possible, randomize if not.
Balanced latin square when all P&C not possible
Wednesday, 14 August 2019
“Have fun with the data” - AJ 2019
Design of experiment
PC v/s Android - between subjects
With and without feedback - within subjects, counter balanced
Mixed design (since it used multiple things)
The sample population is all design students who are heavy users of technology.
Homework for today
Friday, 16 August 2019
The hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.
What would be the purpose of doing the phonebook experiment?
- Gender bias, argue for more diverse hiring
Dal factory (tur dal)
Dicot seed with outer shell, some oil. “Phatka” machine - not very sophisticated.
Uses optical camera and sorts 16 tons of dal a day.
Good dal 70-80%
Broken pieces to make powder
Unbroken put back in the machine
Wednesday, 21 August 2019
Variables according to levels of measurement
Categories/names of things
2 or more categories with no intrinsic order
There are some special tests we can use, sometimes coded as 0/1
Do you own smartphone? (yes/no)
How do you feel about govt’s performance? (approve, on the fence, disapprove)
Ranking is special case of Ordinal
Letter grades in IITB - they start as numerical, but you want consistency in measurement across subjects, and teaching methods and evaluation methods vary.
Semantic differential scale
Use bipolar adjectives to measure the psychological meaning of an attitude object.
Visual continuous scale
Measured along continuum
Interval between 30°C and 40°C is same as 40°C and 50°C.
0 is arbitrary value at which water freezes, not lack of temperature
Ratio is not meaningful - 10°C is not double of 5°C.
10m is twice of 5m
0 is absolute lack of something
All tests for interval can be used for ratio but not other way around.
Chance that the result is by chance, given that null hypothesis is true.
“There are only 2 things in the world - samples and populations.” - AJ 2019
Friday, 23 August 2019
Method of collecting data
Method of analysis
Discussion\ What are reasons for getting results we are getting? What other areas are there for exploration?
Lit Review content
- Purpose of Lit rev
How will you use the material you describe? Chekhov’s gun.
Prove demand for research/product
Prove impact for research/product
Document/survey and identify gaps
Identify similiar/existing research/product
Analyse them, use theory/good features
Avoid disadvantages of existing products
Organisation of Lit rev
Desired conclusion of Lit rev
What is a belief system?
“Research is a belief system.” - Girish Dalvi 2019
Nature is orderly and regular system
We can know/understand nature (human exceptionalism)
Knowledge is better than ignorance
All natural phenomena have natural causes
Nothing is self-evident, but it must be verified or falsified
Knowledge is derived from observation of nature
Use of research
To test (and establish) ‘causal’ explanations for established facts
Reasoning creates knowledge
Obtained through senses
Types of explanation
Seeks to explain particular situation\ → Limited to single case
Seeks to explain a class of situations
Linear, bottom up process
Argues from particular to general
Also linear, but top down
Argues from general to particular
2 less common but more complex non linear processes\ Spiral processes with many iterations
Develop concepts and theories from actors’ everyday life and understanding; inference to the best explanation
//Humans are linguist abductors - everyone is guessing what people are trying to say.
Use reason and imagination to create an explanatory model and then test in real world.
Read ‘Strategies for answering research questions’ - Norman Blaikie.\ Explain each strategy with 5 examples.
Examine and articulate through Writing your research/project beliefs and the evidence for it.
Girish Dalvi sir’s next class is on 18 September
Wednesday, 28 August 2019
Revision class, notes added in previous sections
Wednesday, 4 September 2019
Dr. Pramod Khambete
Introduction to Research
Surveys and Questionnaires (focus on questionnaires.)
“Get all the information you can, we’ll think of a use for it later.” - common practice.
Popular in quant, can be used for qual also.
Enables coverage of large spread of population.
Results can be misleading unless done well.
Survey is the measurement process. Questionnaire is the highty structured instrument comprising of a set of ‘questions’.
How to set questions
Questions may be in the form of statements, W/H question not necessary.
According to what we know
Intangible/invisible things we want to know converted into ‘questions’
Well organised - order, grouping and mix of structured and unstructured questions.
Articulated in a manner to reduce biases and errors
Answers must be analysable
Appropriate communication approach
Paper based, telephonic, web
Behaviour and Attitude measurement
What people do
A learned, stable predisposition to respond to oneself, others, objects, events and issues in a consistently favourable or unfavourable way.
Types of Attitude
Memories, evaluations, beliefs
Feelings, emotions, intuitions, values
Expectations, behavioural intentions
Attitude influences behaviour and vice-versa as well.
Developing a survey questionnaire
1 Research Question
What are things you want to find? What to conclude?
2 Investigative Questions
Specific questions that adequately cover research questions?
3 Measurement questions
Specific, analysable questions participants must answer.
4 Questionnaire development
Exact form and content of questionnaire.
Known x Unknown
Known Known - You know you know this.
Known Unknown - You know you don’t know this.
Unknown Known - You don’t know you know this - you have some partial information.
Unknown Unknown - You don’t know anything about this.
Friday, 6 September 2019
Dr. Pramod Khambete
Circle of data collection activities
Gaining access/making rapport
Resolving field issues
… and loop.
Expect deviations from the plan, things can and will go wrong. Adapt to the situation.
Random sampling is not always the best sampling method.
Sampling is usually not random, sample composition may emerge during study.
Random sample is not 100% representative sample.
Recognise role of gatekeeper
Voluntary participation is a must, but role of gatekeeper can introduce filters in population, or influence people to talk to you or be more guarded.
Recording, collecting, storing data
Nuances v/s. Hard data - need to strike a balance
Use multiple methods/tools (eg. notes, audio rec, video rec)
Generally, you won’t be able to interview the same person again.
Don’t record without consent
Participants must not face any risks, even inadvertently
Interviewer is in position of control, there is power asymmetry. Be conscious of this.
Purposeful conversation - not a Q&A. Needs to be flexible.
Your aim is to get information, other person has no obligation to you and is doing you a favor.
Generates verbal data, capturing nuances is important, capture other kinds of data if possible.
“यह सब bullet point तो ठीक है, field में करके देखो” - Khambete, 2019
Types of interview
Questions are tweaked to match unfolding situation
Extensive use of probes - cultural probes can be used
Preparatory stage of interview
Give basic info about research
Tell them role of interview in research
Tell them their role
Wednesday, 18 September 2019
What do I want to know?
Try and be very specific
What is a better way to find fonts for amateur font enthusiasts?
What does better mean?
How to measure improvement?
Is one font better than another?
Why do I want to know?
What impact will it have?
- Furthering of the epistemological imagination.
What do I already know?
How sure am I? What is the evidence?
Anecdotal evidence is not enough. Hasty generalization. Evidence should be sustantial.
How will I know I want to know?
What is the process? Is this the best way to know what I want to know?
How will I test the new knowledge?
Comparing with previous literature
Replication in time, space
Friday, 20 September 2019
Claims and Arguments
“The first part of this talk is a rant. It’s a personal rant, aimed mostly at the Mdes folks, but don’t feel too bad.”
With no prior knowledge about the domain, there is this expectation that you will be able to do better than people in the domain. Eg. go to school, think you know better than someone who has been teaching for 30 years.
This leads to the designer as a tourist - expecting others to do things for you, your experience is at the center.
From postmodernism - never become them, but profit from them.
Designers claim more than what they do.
If you claim you will make a blackboard, as a product designer, that’s okay. If you claim you will radically change education in India, that’s a problem.
- Critically aware of own limitations
- Use evidence to evaluate, make judgements
- Are interested in opposing ideas
- Understanding, learning as a goal
- Avoid emotionalism, think before acting
- Open mind, open to criticism
Every design is a claim
A claim is a statement that something is true.
- people might not believe it
- typically designers don’t provide evidence/proof
- evaluated as: accept, reject, suspend judgement (not enough proof)
“Designers are, जैसे Fight Club में कहते हैं, middle children of nowhere. We are not marketing, scientists, but we’d like to be both.” - Girish 2019
A claim needs Arguments
An arguments os the reason(s) why you support a claim.
The process of exmplaining these reasons is argumentation.
“If you accept arguments without evidence, others will ask for it. External will ask for it.” - Girish 2019
A thesis is the main idea, opinion or theory.
- contains multiple claims
- includes evidence
Greek modes of persuasion
- Logical appeal/appeal to reason
- Use data to support claim
- Appeal to character/appeal to credibility
- Use people’s character/trustworthiness to support claim
“If Narendra Modi says everyone should start designing for AR/VR…” - Girish 2019
- Appeal to emotion/appeal to “values & beliefs”
- Use people’s ability toempathize to support claim
“Education in this country is terrible, think about the children…” - Girish 2019
Toulmin Model of Argumentation
- Informal method of reasoning
- Method for constructing, analyzing arguments
- Tool for diagramming arguments
Types of claims
- Fact: an empirically verifiable phenomena
- Judgement/value: opinions, attitudes, subjective evaluation
- Policy: advocating courses of action that should be undertaken
- Definition/Classification: indicates what criteria are being used to define a term or what category something falls into
Claims and warrants are prone to fallacies.
Question assumes an unjustified/unproved assumptions.
- How can teaching be made effective by using iPads?
- Are you still beating your wife?
Appeal to Popularity
AKA Bandwagon effect. Claim that something is good/true because it is popular.
- A lot of people want to come to IDC to do Mdes, so it is India’s #1 design school.
- A lot of people watch Sallu bhai’s movies, he must be a good actor.
Claim on the basis of inadequate evidence.
- Two out of three VC students I asked don’t want a studio space.
- I benefitted from swimming, you should do it too.
Absolute statements that involve words such as all, always
- All children are creative
- School education destroys children’s creativity
“Children are, quite sorry to say, quite stupid.” - Girish 2019
“Creativity is measured by diverse ideas. In the study, they found children can only do one or two घिसा पिटा ideas.” - Girish 2019
“I did a study, around 80% of Bengalis love fish.”
Post Hoc Fallacy
Claiming cause-effect relationship simply because one event preceded another. (Co-occurence)
- Students are denied studio spaces
- Grades of students are poorer than earlier years
- Denial of studio spaces caused a drop in grades
Non sequitur Fallacy
Linking two ideas that have no logical connection
- Girish is a farmer, so he must be depressed.
- Roma studied in America, so she must be smart.
Two things share some characteristics, therefore they are alike in all respects. 1 VR/AR is being used in entertainment, and it is effective. 2 Education should contain aspects of entertainment…
Wednesday, 25 September 2019
Making and defending design claims
Claim 1 becomes the basis for claim 2.
Claim 1 –> Claim 2 –> Claim 3
Friday, 27 September 2019
Introduction to Research Design
- Master plan specifying methods, procedures for collecting, analyzing the data.
- Overall plan for answering research questions and gathering evidence for your claims.
Based on quant.
Eg. Analysis of Ruskin Bond and Shakespeare
Often expressed in general, theoretical, subjective or qualitative terms.
How can we measure things like:
- Studiousness : (Hours spent studying?)
- Sincerity : (Num times submitted on times?)
- Intelligence : (Intelligence test/makrks/exam score)
- Aggression : (Num violent acts)
- Step outside emotions and marketing land
- Food/pain/feeling/fonts are subjective
- Enhance experience, effective etc. is vague
- Make claims precise and specific
Characteristics of a good design
- Objectivity - data, analysis should be free from bias
- Reliability - design (of the research) should deliver consistent result
- Validity - should deliver accurate/correct results
- Generalization - results for sample should hold for entire population
Fisher’s principles of experiment design
Principle of Replication
Repeat experiement more than once to increase accuracy
Principle of Randomization
Effect of extraneous variables gets clubbed under general factor of ‘chance’
Principle of Local Control
Try and control only 1 variable
Wednesday, 9 October 2019
What is research?
“Creative + systematic work undertaken to increase the stock of knowledge, inclusing knowledge of hamns, culture, society, and the use of this stock to devise new applications.”
What is PhD?
“Keep pushing.” - AJ 2019
- In theory: report/guide that informs readers concisely about complex issue
- Marketing: form of marketing presentation
I feel that/in my opinion, if we tried this, it might lead to that, so we should do this.
This is what i made, this is how it works, this is why it’s cool.
Research paper (“paper”)
- Describes learning from a particular research activity.
- I blind peer reviewed (often double- or triple-blind).
“It’s all real.” - AJ 2019